IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

The Use of an Enterprise Architecture Framework to Guide the Management of Big Data in Health Organisations

The Use of an Enterprise Architecture Framework to Guide the Management of Big Data in Health Organisations
View Sample PDF
Author(s): Monica Nehemia (Cape Peninsula University of Technology, South Africa) and Tandokazi Zondani (Cape Peninsula University of Technology, South Africa)
Copyright: 2021
Pages: 12
Source title: Empowering Businesses With Collaborative Enterprise Architecture Frameworks
Source Author(s)/Editor(s): Tiko Iyamu (Cape Peninsula University of Technology, South Africa)
DOI: 10.4018/978-1-5225-8229-8.ch002

Purchase

View The Use of an Enterprise Architecture Framework to Guide the Management of Big Data in Health Organisations on the publisher's website for pricing and purchasing information.

Abstract

Big data has gained popularity in recent years, with increased interest from both public and private organisations including academics. The automation of business processes led to the proliferation of different types of data at various speeds through information systems. Big data is generated at a high rate from multiple sources that can become complex to manage with challenges to collect, manipulate, and store data with traditional IS/IT. Big data has been associated with technical non-technical challenges. Due to these challenges, organisations deploy enterprise architecture as an approach to holistically manage and mitigate challenges associated with business and technology. An exploratory study was done to determine how EA could be used to manage big data in healthcare facilities. This study employs the interpretive approach with documentation as the analysis. Findings were governance, internal and external big data sources, information technology infrastructure development, and big data skills. Through the different EA domains, big data challenges could be mitigated.

Related Content

Antoine Trad. © 2021. 38 pages.
Monica Nehemia, Tandokazi Zondani. © 2021. 12 pages.
Antoine Trad. © 2021. 39 pages.
Tandokazi Zondani, Tiko Iyamu. © 2021. 20 pages.
Irja N. Shaanika. © 2021. 19 pages.
Metin Uyar. © 2021. 29 pages.
Yinka Oyerinde, Felix Bankole. © 2021. 24 pages.
Body Bottom